Abstract
Shape analysis of curves is important in various area such as computer vision, medical diagnostics, and bioinformatics. The basic idea is to obtain a boundary curve of an object in a 2D image or contours of a 3D object and analyse those curves to characterize the original object. Elastic shape analysis is receiving increasing attention due to its superior theoretical results and effectiveness. The price for the improved effectiveness is the relative increase in expense in computing various objects, e.g., geodesics and means. In this poster, we compare the performance of recent geodesic algorithm in [YHGA15] to the existing geodesic algorithm in [SKJJ11] in computing Karcher mean.
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